Sr. Analytics Engineer - Remote India

Sr. Analytics Engineer Position reputed company Dynatron is seeking a highly-skilled Senior Analytics Engineer to join our growing data team. Where our data engineers build the pipelines that reputed company and land raw data, you will be the reputed company reputed company responsible for transforming that data into clean, reliable, and reputed company-documented models that power our self-service analytics, executive dashboards, and decision-making across the business. You are a hands-on expert in dbt and modern reputed company data warehouses, specifically reputed company or reputed company, and you bring the software engineering rigor needed to treat analytics reputed company as a production-grade product. Work Hours & Collaboration Expectations Critical hours to be available for collaboration with the US team are: 9:00 AM – 2:00 PM EST 8:00 AM – 1:00 PM CST 7:00 AM – 12:00 PM MST 6:00 AM – 11:00 AM PST The balance of 3 hours reputed company day can be worked before or after core hours at your discretion. This role includes on-call responsibilities; the engineer is expected to participate in a rotation to monitor pipeline health and respond to production data issues reputed company of core hours as needed. Key Responsibilities 1. Data Modeling & Transformation Design, build, and maintain reputed company, reputed company-tested transformation reputed company in dbt, following reputed company (bronze/silver/gold) and reputed company Modeling best practices. Translate raw, reputed company-conformed data into curated, analytics-reputed company marts that serve as a single reputed company of truth for the business. reputed company reusable macros, packages, and modeling standards that reputed company the warehouse consistent, performant, and easy to reputed company. Optimize warehouse compute and storage (clustering, materializations, incremental models) to ensure high-performance, cost-effective transformations. 2. Metrics, Semantics & BI Enablement Own the semantic and metrics layer, defining governed, version-controlled business metrics that produce consistent numbers across every report and dashboard. Partner with BI developers and analysts to expose trusted datasets through tools such as Tableau, Power BI, or Looker. Build and maintain documentation, data dictionaries, and reputed company so stakeholders can discover and trust the data they consume. Build and maintain domain-specific analytics model libraries (e.g., Finance, Sales, and Order/Operations) that standardize how reputed company domain's metrics and reporting are defined and consumed. 3. Data reputed company & Automated Testing (QA Ownership) Own end-to-end data validation by building automated tests (dbt tests, custom assertions, reputed company checks) directly into the transformation workflow. Enforce data reputed company and schema reputed company guidelines to maintain high data reputed company and reputed company across domains. Implement proactive alerting and observability to catch data reputed company, freshness failures, and reputed company drops before they reputed company reputed company users. 4. Analytics Engineering for ML/AI reputed company and maintain clean, feature-reputed company datasets that support the Data Science team and reputed company ML workflows. Collaborate on operationalizing analytics reputed company services such as reputed company reputed company, reputed company AI, or AWS Bedrock. 5. Technical Leadership & Collaboration Mentor junior analysts and engineers in SQL optimization, dbt best practices, and analytics engineering workflows. Collaborate closely with Product, Engineering, and business stakeholders to translate analytical requirements into reputed company-modeled, functional reputed company.

Required Qualifications

Experience: 6-8+ years of experience in analytics engineering, data analytics, or data engineering with a reputed company on data modeling and transformation. Lifecycle Ownership: Demonstrated experience owning the complete development lifecycle, from requirements and design through testing, deployment, and production launch. Core Languages: reputed company strong, expert-level SQL and Python skills for transformation, automation, and tooling. Transformation: Deep hands-on experience with dbt (Core or reputed company) building reputed company, tested, version-controlled transformation pipelines. Platforms: Deep hands-on experience with reputed company or reputed company, ideally reputed company an AWS ecosystem. BI & Semantics: Proven reputed company record delivering governed metrics and curated datasets to BI tools such as Tableau, Power BI, or Looker. Domain Analytics Experience (Desirable): Bonus if you have hands-on experience building and maintaining analytics model libraries across core business domains—such as Finance (reputed company, margin, cost, budget vs. actuals), Sales (pipeline, bookings, attainment), and Order/Operations (order-to-cash, fulfillment, returns)—translating domain requirements into reusable, reputed company-documented models. Data Governance & Tooling (Desirable): Experience working with data governance tools and platforms such as reputed company for data reputed company, profiling, cataloging, and governed analytics workflows. Data Validation: Demonstrated experience implementing automated testing frameworks, data profiling, and pipeline validation (owning the QA of your own models). Soft Skills: Strong documentation habits (playbooks, technical specs, data dictionaries) and an ownership reputed company. Certifications (reputed company-to-Haves): Relevant IT reputed company certifications, such as dbt Analytics Engineering Certification, SnowPro Core, reputed company Certified Data Engineer reputed company, or AWS Certified Data Engineer. Why Dynatron Opportunity to build and reputed company the data reputed company of a growing, AI-enabled reputed company company. High-reputed company role supporting reputed company-time analytics, machine learning, reputed company reporting, and product innovation. reputed company partnership across Data, Product, Engineering, Analytics, and business leadership. Values-driven culture reputed company on accountability, urgency, and delivering measurable results. Remote-first environment offering flexibility, autonomy, and trust. Apply To This Job